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Books on the topic 'Population genetic models'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Korolʹ, A. B. Recombination variability and evolution: Algorithms of estimation and population-genetic models. London: Chapman & Hall, 1994.

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2

Theoretical population genetics. London: Unwin Hyman, 1990.

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3

Gale, J. S. Theoretical population genetics. Boston: Unwin Hyman, 1990.

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4

H, Schierup Mikkel, and Wiuf Carsten, eds. Gene genealogies, variation and evolution: A primer in coalescent theory. Oxford: Oxford University Press, 2005.

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5

Pedigree analysis in human genetics. Baltimore: Johns Hopkins University Press, 1986.

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6

Evolutionary genetics. Oxford: Oxford University Press, 1989.

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7

Evolutionary genetics. 2nd ed. Oxford: Oxford University Press, 1998.

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8

Fitness landscapes and the origin of species. Princeton, N.J: Princeton University Press, 2004.

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9

Population genetics of multiple loci. Chichester: Wiley, 2000.

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10

Etheridge, Alison. Some Mathematical Models from Population Genetics. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-16632-7.

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11

Dynamic population models. Dordrecht: Springer, 2006.

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12

Introduction to theoretical population genetics. Berlin: Springer-Verlag, 1992.

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13

I, Li͡ubich I͡U. Mathematical structures in population genetics. Berlin: Springer-Verlag, 1992.

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14

A, Desharnais Robert, ed. Population dynamics and the Tribolium model: Genetics and demography. New York: Springer-Verlag, 1991.

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15

Edwards, A. W. F. Foundations of mathematical genetics. 2nd ed. Cambridge, U.K: Cambridge University Press, 2000.

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16

V, Rădulescu, ed. Nonlinear PDEs: Mathematical models in biology, chemistry and population genetics. Heidelberg: Springer-Verlag, 2012.

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17

Costantino, Robert F., and Robert A. Desharnais. Population Dynamics and the Tribolium Model: Genetics and Demography. New York, NY: Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4612-3170-7.

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18

Bürger, R. The mathematical theory of selection, recombination, and mutation. Chichester: Wiley, 2000.

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19

Bürger, Reinhard. The mathematical theory of selection, recombination, and mutation. Chichester: John Wiley, 2000.

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20

Bürger, R. The mathematical theory of selection, recombination, and mutation. Chichester: Wiley, 2000.

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21

Plätke, Rosemarie. Die Entstehung von Supergenen in unterteilten Populationen: Ein theoretischer Ansatz anhand eines Zwei-Locus-Modells. Krefeld: Marchal und Matzenbacher, 1986.

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22

service), SpringerLink (Online, and École d'Été de Probabilités de Saint-Flour (39th : 2009), eds. Some Mathematical Models from Population Genetics: École d'Été de Probabilités de Saint-Flour XXXIX-2009. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.

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23

Charlesworth, Brian. Evolution in age-structured populations. 2nd ed. Cambridge [England]: Cambridge University Press, 1994.

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24

Populi͡a︡t͡s︡ionnai͡a︡ biometrii͡a︡. Moskva: "Nauka", 1991.

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25

IUFRO Working Party "Ecological and Population Genetics". Meeting. Population genetics in forestry: Proceedings of the meeting of the IUFRO Working Party "Ecological and Population Genetics" held in Göttingen, August 21-24, 1984. Berlin: Springer-Verlag, 1985.

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26

Foulkes, Andrea S. Applied statistical genetics with R: For population-based association studies. New York: Springer Verlag, 2009.

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27

Applied statistical genetics with R: For population-based association studies. New York: Springer Verlag, 2009.

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28

Foulkes, Andrea S. Applied statistical genetics with R: For population-based association studies. New York: Springer Verlag, 2009.

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29

Saint-Paul, Gilles. Equilibrium allele distribution in trading populations. Bonn, Germany: IZA, 2006.

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30

Kimura, Motoo. Population genetics, molecular evolution, and the neutral theory: Selected papers. Chicago: University of Chicago Press, 1994.

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31

Voigt, Hans-Michael. Evolution and optimization: An introduction to solving complex problems by replicator networks. Berlin: Akademie-Verlag, 1989.

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32

Goel, Narendra S. Stochastic models in biology. Caldwell, N.J: Blackburn Press, 2003.

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33

1951-, Lessard Sabin, ed. Theoretical studies on sex ratio evolution. Princeton, N.J: Princeton University Press, 1986.

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34

M, Svirezhev I͡U. Fundamentals of mathematical evolutionary genetics. Dordrecht: Kluwer Academic Publishers, 1990.

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35

Straalen, Nico, and Dick Roelofs. Human Evolution and Development. NL Amsterdam: Amsterdam University Press, 2019. http://dx.doi.org/10.5117/9789463729208.

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Our understanding of human evolution is proceeding at an unprecedented rate over the last years due to spectacular fossil finds, reconstructions based on genome comparison, ancient DNA sequencing and new insights into developmental genetics. This book takes an integrative approach in which the development of the human embryo, the evolutionary history of our body, the structure of human populations, their dispersal over the world and their cultures are examined by integrating paleoanthropology, developmental biology, comparative zoology, population genetics and phylogenetic reconstruction. The authors discuss questions like: - What do we know about ancient humans? - What happens in the development of an embryo? - How did we manage to walk upright and why did we lose our hair? - What is the relationship between language, migration and evolution? - How does our body respond to the challenges of modern society? In addition to being a core text for the study of the life sciences, Human Evolution and Development is an easy-to-read overview for the interested layperson.

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36

Introduction to Population Genetics: Theory and Applications. Oxford University Press, Incorporated, 2017.

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37

Forwardtime Population Genetics Simulations Methods Implementation And Applications. Wiley-Blackwell, 2012.

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38

(Editor), Montgomery Slatkin, and Michel Veuille (Editor), eds. Modern Developments in Theoretical Population Genetics: The Legacy of Gustave Malecot. Oxford University Press, USA, 2002.

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39

Montgomery, Slatkin, and Veuille Michel, eds. Modern developments in theoretical population genetics: The legacy of Gustave Malécot. Oxford: Oxford University Press, 2002.

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40

(Editor), Montgomery Slatkin, and Michel Veuille (Editor), eds. Modern Developments in Theoretical Population Genetics: The Legacy of Gustave Malecot. Oxford University Press, USA, 2002.

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41

(Editor), Charles W. Fox, and Jason B. Wolf (Editor), eds. Evolutionary Genetics: Concepts and Case Studies. Oxford University Press, USA, 2006.

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42

(Editor), Charles W. Fox, and Jason B. Wolf (Editor), eds. Evolutionary Genetics: Concepts and Case Studies. Oxford University Press, USA, 2006.

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43

W, Fox Charles, and Wolf Jason B, eds. Evolutionary genetics: Concepts and case studies. New York: Oxford University Press, 2005.

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44

Láruson, Áki Jarl, and Floyd Allan Reed. Population Genetics with R. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198829539.001.0001.

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Population genetics is an inherently quantitative discipline. Because the focus of population genetics studies is usually on abstract concepts like the frequencies of genetic variants over time, it can at first glance be difficult to conceptualize and appropriately visualize. As more and more quantitative models and methods have become established in the discipline, it has become necessary for people just entering the field to quickly develop a good understanding of the many layers of complex approaches, so as to correctly interpret even basic results. An unfortunate side effect of the widespread implementation of ready-to-use quantitative software packages is that some facets of analysis can become rote, which at best might lead to implementation without the full understanding of the user and at worst, inappropriate application leading to misguided conclusions. In this book a “learning by doing” approach is employed to encourage readers to begin developing an intuitive understanding of population genetics concepts. The analytical software R, which has increasingly been the program of choice for early exposure to basic statistical programming, is freely available online, has cross-platform compatibility (Windows, Mac, and Linux all support distributions of R), and offers the potential for hands-on implementation by the students, in addition to using pre-packaged functions.

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45

Walsh, Bruce, and Michael Lynch. The Population Genetics of Selection. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198830870.003.0005.

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This chapter examines models of one- and two-locus selection in the absence of drift and mutation. Expressions for the per-generation rate of allele-frequency change and the expected time for a specified amount of change are developed for single-locus models, and their equilibrium structure is examined for those settings where selection retains more than one allele. The presence of selection-generated linkage disequilibrium greatly complicates the extension of single-locus results to two loci, and the chapter examines some of the resulting complications. Finally, it examines the nature of selection on a locus that underlies a trait under selection, and then uses this to develop the breeder's equation for the single-generation response in a trait under selection. One important result is that the loci for a trait under stabilizing selection experience fitness underdominance, and thus trait selection removes, rather than retains, genetic variation.

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46

Evolutionary genetics. John Maynard Smith, 1989.

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47

Ewens, Warren J. Mathematical Population Genetics. Springer, 2004.

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48

Kojima, Ken-ichi. Mathematical Topics in Population Genetics. Springer, 2012.

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49

Jarnecke, Amber M., and Susan C. South. Behavior and Molecular Genetics of the Five Factor Model. Edited by Thomas A. Widiger. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199352487.013.25.

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Behavior and molecular genetics informs knowledge of the etiology, structure, and development of the Five Factor Model (FFM) of personality. Behavior genetics uses quantitative modeling to parse the relative influence of nature and nurture on phenotypes that vary within the population. Behavior genetics research on the FFM has demonstrated that each domain has a heritability (proportion of variation due to genetic influences) of 40–50%. Molecular genetic methods attempt to identify specific genetic mechanisms associated with personality variation. To date, findings from molecular genetics are tentative, with significant results failing to replicate and accounting for only a small percentage of the variance. However, newer techniques hold promise for finding the “missing heritability” of FFM and related personality domains. This chapter presents an overview of commonly used behavior and molecular genetic techniques, reviews the work that has been done on the FFM domains and facets, and offers a perspective for future directions.

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50

Gregorius, H. R. Population Genetics in Forestry. Springer, 1986.

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